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Some Processing on Images

A: Data Collection.

1- Dataset collection: Collect hundreds of grayscale images (200 hundred is the minimum). The dataset should include a least 4 categories. (e.g cars, horses, buildings, tigers…). The categories should be balanced (approximately the same number of images for each category).

2- Dataset labeling:

a. Assign a Label to each image. (E.g. For car image assign 1, horse 2, building 3 and tiger 4…).

b. After ordering your images, construct a vector containing the label of each image in same order of the images.

c. Save all images in a directory called ImagesDatayourName

d. Save the list of the image names ordred and its corresponding labeling vector in [url removed, login to view] and [url removed, login to view] files.

3- If needed, enhance or/and restore the images. Explain why it is need and the choice of the performed method.

B: Feature Extraction:

1- For each image from the image Data, extract at least one color feature.

2- Normalize you data. For each Feature, make each entry between 0 and 1 for all images.

3- Save each Feature in an MxN matrix where M is the number of images and N is the dimension of your Feature vector. You have to use the same order of the images as the one in your name and label files.

4- Write a Readme File that describes each Feature used, indicates the corresponding name of the Feature file, and the name of the Matlab function that extract it.

C: Retrieval:

1. Query Image Q (Selection and display): Select and display the query image.

2. Retrieved image Rank 1, 2,3 and 4: Display the resulting retrieved image.

3. Dist(Q,R1), Dist(Q,R2), Dist(Q,R3), Dist(Q,R4): display the distance between the query and the retrieved image under the retrieved one.

4. Score of this retrieval: evaluates the current retrieval.

Final Report:-

The final report should roughly have the following format:

 Introduction - Motivation

 Problem definition

 Proposed method

 Experiments

o Details of the experiments; observations

 Conclusions

notes:-

1- already cllected 200 images and renamed it here:

[url removed, login to view]!aJcw1aKb!WshRnDB9RtSgl412E0OGh6KyFXX3GQVZdakVpJYbjqA

2- you need to change all the images to grayscale before you start working,

the images look like grayscale but the Matlab consider it RGB.

Habilidades: Matlab and Mathematica

Ver mais: method write report, dimension data, definition data entry, data entry definition, image tiger, tigers, need 200 images, labeling, distance vector, data collection needed, d buildings, car processing, images categories, horse images, include restore feature, restore needed, use extract function, data normalize, introduction data entry, data entry introduction, order retrieval, image feature extraction, data needed car, image retrieval matlab, data entry cars

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sunilnayak91

I have done work on image database....the image processing algorithm applied to each image and see the discrimination of the result

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aminariaz

sir i can help you with this project hopping for your consideration .....................................................................................

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SML2014

Please check my profile for more information. I can use content to retrieve the images and be like UI for handy usage.

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mimoban

I have already worked one Content Based image retrieval earlier. This project is also similar to that where we extract feature from each of the image from the training dataset. I can do this job for you. Kindly reply i Mais

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JonnaNueros121

I'm a PhD student in Engineering with a Master's in Statistics. Expert in Matlab, Econometric and statistical modeling of pretty much everything you can think of. These include expertise on protocol development, resear Mais

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crucifige

Hello, I am a PhD student in Control Engineering. I think we have talked earlier. I have done image retrieval projects before. You can see from my profile. I can complete your project in 2 days maximum 1 day regular. L Mais

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mail4soopi

Please refer to my profile on my CBIR experience and image processing knowledge

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yasith1991

I'm really good at image processing. I think I can do this. I'm also really comfortable with matlab. I f you are interested please contact me.

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